Browse AI Jobs — Page 160

Forward Deployed Engineer, Infrastructure Speciali...

Negotiable

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ABOUT NORTH: North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. WHY THIS ROLE? Cohere’s team partners with Canadian public sector organisations to unlock transformative value through secure, ethical deployment of Generative AI (GenAI) solutions. We work collaboratively to address complex societal challenges while maintaining the highest standards of data security and compliance. You will work directly with public sector customers to quickly understand their greatest problems and design and implement solutions using Cohere's stack. This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors. We are seeking engineers with diverse skill sets, including backend, infrastructure, agent development, and deployments, who deeply care about customers and want to work at the cutting edge of Agentic AI. Location: Ottawa, 20-40% travel anticipated. Security Clearance: Active Top Secret clearance strongly preferred; candidates eligible and willing to obtain clearance will also be considered. If you are ineligible for clearance there are other positions on our careers site that do not have this requirement. More information about Canadian Security Clearance can be found here https://www.canada.ca/en/public-services-procurement/services/industrial-security/security-requirements-contracting/personnel-security-screening/processes/security-clearance-request.html. In this role, you will: - Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout. - Partner with enterprise IT teams to assess infrastructure, security requirements, and data management practices. - Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectations - Design and implement deployment strategies tailored to client needs, ensuring compliance with data privacy and security standards. - Troubleshoot and resolve deployment-related technical issues, providing timely solutions to minimize downtime. You may be a good fit if: - You have experience with and enjoy working directly with customers - You have experience deploying enterprise software in private/hybrid cloud environments - You have proven experience administering production Kubernetes clusters and expertise with Helm - Familiarity with DevOps practices, CI/CD pipelines, and tools like Git for version control - You have strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualization - You excel in fast-paced environments and can execute while priorities and objectives are a moving target - Familiarity with Canadian public sector security and compliance requirements (e.g., data sovereignty, access controls). FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

👤 HumanFull-timeMid

By CohereApr 29, 2026

Data Annotation Specialist - German Writer/Transla...

Negotiable

Who are we? Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! Why this role? We are on a mission to build machines that understand the world and make them safely accessible to all. Data quality is foundational to this process. Machines (or Large Language Models to be exact) learn in similar ways to humans - by way of feedback. By labelling, ranking, auditing, and correcting text output, you will improve Large Language Model’s performance for iterations to come, thus having a lasting impact on Cohere’s tech. Cohere seeks dynamic and dedicated Data Annotators with exceptional Modern Standard German Writing, Translation, and Data Manipulation skill. Please Note: This is a part-time independent contractor position available within Canada . We seek candidates who are able to commit to 16 hours per week minimum at a 30 CAD/hour contract rate. This role is BYOD 💻 - Bring Your Own Device (laptop). Remote work within Canada. 12 months contract. Performance incentives included! As a Data Annotation Specialist, you will: - Label and Rank: Accurately label and rank machine learning data with advanced proficiency in German, ensuring data integrity and quality. - Audit and Correct: Scrutinize and rectify any inaccuracies in language data (may include text, image, JSON, TSV/CSV, Markdown), maintaining the highest standard of data accuracy. - Reading and Text-Based Tasks: Efficiently complete reading and text-based assignments, with high attention to detail. - Preference-Based Tasks: Evaluate and complete tasks, assessing which responses in German best conform to project guidelines. - Recommend Optimizations: Identify and suggest opportunities for improving data quality and model performance in German language tasks. - Provide Feedback: Collaborate and communicate effectively, providing feedback to cross-functional team members, particularly on German language-related matters. - Detail-Oriented Execution: Maintain meticulous attention to detail while performing repetitive and precise tasks, particularly when working with language data. You may be a good fit if you have: - Language Proficiency: Native or near-native proficiency in German; excellent command over English. - Expert reading and writing skills - which you are ready to prove on our written test. - Basic familiarity with JSON/TSV/CSV/Markdown data manipulation. - Strong attention to detail and commitment to accuracy - you’re the type to proofread all of your emails! - High tolerance for repetitive and monotonous work. - Ability to follow complex instructions, navigate ambiguity and work independently. - Superb sense of urgency and time management. - Curiosity about technology and a knack for tackling problems in creative ways. - A reliable laptop. The Candidate Journey: Initial Screening - Once you have submitted your application our Talent Team will review your resume and writing samples. Virtual Annotation Test - This assignment will test your written skill through various language-based tasks, such as a a writing sample, interacting with a chat bot, and more. Video Screen - If selected to move forward, you will have a short video call with a member of our Operations Team! Offer - Independent Contractor Agreement As an independent contractor, you maintain control over how you complete your work and may work with multiple clients simultaneously, although we ask you to declare if any of these are with a direct competitor of Cohere and maintain IP confidentiality of the Cohere project. Independent contractors are not eligible for health benefits or other benefits provided to employees. Compensation for services is provided to contractors by contractors invoicing for services provided pursuant to the terms of our agreement with the contractor. It is important to understand that as an independent contractor, continuous work is not guaranteed . The client-contractor relationship is fundamentally project-based, meaning engagements may be temporary, periodic, or intermittent based on our organizational needs and project availability . As an independent contractor, you should anticipate fluctuations in workflow and therefore compensation for services when Cohere does not require as many hours of services in a week. Prospective candidates, please be advised: this role involves working with human generated and model generated tasks that may involve exposure to not safe for work (NSFW) text content as part of data annotation tasks, including explicit, offensive, or other inappropriate material. If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form , and we will work together to meet your needs.

👤 HumanFull-timeMid

By CohereOct 27, 2026

Customer Success Manager - UAE

Negotiable

Negotiable

Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code. ABOUT THE ROLE As an Engineering Manager on the Evals team at Cursor, you’ll lead the group responsible for creating high-signal evaluation datasets for coding agents and building the tools engineers use to write and run them. The team also owns online evaluation systems that track agent quality in production, and the close integration between online and offline evaluations. The evaluation systems that this team builds, including CursorBench https://cursor.com/blog/cursorbench, are critical in the development of our coding models and the quality of our Cursor agents https://cursor.com/blog/continually-improving-agent-harness. Your impact will compound across every Cursor product and every Cursor model by making quality measurable, comparable, and easy to improve. WHAT YOU’LL DO - Set the eval roadmap end-to-end—what we measure, why it matters, and how signals turn into shipping + training decisions. - Lead and grow a high-impact team of engineers and researchers building eval datasets and developer-friendly tools to write and run evals. - Guide the next generation of CursorBench https://cursor.com/blog/cursorbench so it continues to reflect real developer workflows at Cursor, and expand it with new evals that measure other properties developers value. - Define crisp online quality signals and turn regressions into robust guardrails. - Integrate evals into decision-making cadence for launches, deploys, and model training loops. YOU MAY BE A FIT IF - You’ve led engineering teams shipping production systems and have strong people leadership and coaching skills. - You can align research, product, data, and infrastructure on what “good” means—and turn that into durable metrics, processes, and release/training rituals. - You have good taste and strong opinions on model and agent behaviors, and you stay up-to-date on emerging research and industry trends. - You have strong data acumen, and can collaborate effectively with data scientists and researchers. - You’ve built and operated evaluation or measurement systems (e.g., AI evals, experimentation platforms, ranking/relevance, search quality, or reliability instrumentation). #LI-DNI

👤 HumanFull-timeMid

By AnysphereJun 3, 2026

Engineering Manager, Agent & Product Security

Negotiable

Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code. About the role Cursor’s agents work inside the codebases of some of the most security-conscious engineering organizations in the world — holding credentials, reading untrusted content, running tools, and shipping changes. Today they act on authority delegated per task. Where we’re headed, they’ll work more like coworkers: autonomous over long horizons, holding standing responsibilities, initiating work, and collaborating with people and other agents. The security models that future needs — identity and accountability for autonomous workers, standing authority rather than per-task permission, agent-to-agent trust, oversight that scales with always-on autonomy — mostly don’t exist yet. As Engineering Manager for Agent & Product Security, you’ll lead the team that makes agentic software development trustworthy. This team owns the security boundaries between customers, data, tools, repositories, workspaces, and agent authority across Cursor’s product and agents and designs the primitives behind them: agent identity, delegated authority, policy enforcement, secure tool execution, and prompt-injection containment. Little of this has settled precedent, so the team’s decisions carry unusual weight for Cursor and for how the industry approaches these problems. Security here is tightly coupled to product strategy: customers adopt agent autonomy as fast as we can make it trustworthy, so the boundaries your team makes safe directly determine what the product can ship. You’ll help set that direction. What you’ll do - Chart the path from supervised agents to trusted autonomous ones: define the security primitives that enable agent autonomy, and lead the team that builds them. - Engineer the isolation that makes Cursor safe to run inside customers’ most valuable codebases: tenancy, workspace, secret, and data protections designed for real adversaries. - Build the authority infrastructure autonomous agents need: identity, scoped permissions, policy enforcement, and secure tool execution, so an agent can hold real responsibility with verifiable limits and full accountability. - Build customer-facing security controls that are understandable, usable, and strong enough for Cursor’s most security-sensitive customers, with crisp success metrics for security outcomes. - Hire, coach, and grow a high-performing security engineering team while staying technically close to the work: write and review code where useful, and keep execution fast and technically grounded. You may be a fit if - You’ve led engineering teams shipping production systems with high security, reliability, or platform stakes — and you want a problem space where much of the answer isn’t written down yet. - You have strong product and systems judgment: you can reason from user workflows to architecture, threat models, enforcement points, and operational tradeoffs — and you see security as something that enables product capability, not only restricts it. - You understand modern application security, authorization, tenancy, identity, secrets, data isolation, and secure-by-default platform design. - You have good instincts about AI agents: how they use tools, where authority should come from, how prompt injection and exfiltration show up in practice, and how to build mitigations that hold up against creative adversaries. - You’re comfortable operating in ambiguity: you can set strategy where precedent is thin, commit to a direction, and stay close enough to the implementation to know when to change it. - You can partner well across product, infrastructure, ML, and customer-facing teams. #LI-DNI

👤 HumanFull-timeMid

By AnysphereJul 14, 2026

Senior Software Engineer, Metrics Platform - Weigh...

Negotiable

CoreWeave, the AI Hyperscaler™, acquired Weights & Biases to create the most powerful end-to-end platform to develop, deploy, and iterate AI faster. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe, and was ranked as one of the TIME100 most influential companies of 2024. By bringing together CoreWeave’s industry-leading cloud infrastructure with the best-in-class tools AI practitioners know and love from Weights & Biases, we’re setting a new standard for how AI is built, trained, and scaled. The integration of our teams and technologies is accelerating our shared mission: to empower developers with the tools and infrastructure they need to push the boundaries of what AI can do. From experiment tracking and model optimization to high-performance training clusters, agent building, and inference at scale, we’re combining forces to serve the full AI lifecycle — all in one seamless platform. Weights & Biases has long been trusted by over 1,500 organizations — including AstraZeneca, Canva, Cohere, OpenAI, Meta, Snowflake, Square,Toyota, and Wayve — to build better models, AI agents and applications. Now, as part of CoreWeave, that impact is amplified across a broader ecosystem of AI innovators, researchers, and enterprises. As we unite under one vision, we’re looking for bold thinkers and agile builders who are excited to shape the future of AI alongside us. If you're passionate about solving complex problems at the intersection of software, hardware, and AI, there's never been a more exciting time to join our team. What You’ll Do - The Metrics Platform team builds and scales the infrastructure behind Weights & Biases’ flagship Models product, which powers experiment tracking and analytics for over 2,500 of the world’s leading AI and ML teams. - The team focuses on data ingestion, storage, and querying at a petabyte scale, optimizing for performance, reliability, and cost-effectiveness. About the role As a Software Engineer, you’ll lead efforts to scale our metrics and storage systems to meet the needs of our most advanced customers. Day to day, you’ll set technical direction, balancing near-term deliverables with long-term architectural improvements. You’ll partner with product, revenue, and engineering teams across W&B to evolve our platform and ensure it continues to meet customer demands. You’ll also help mentor engineers and drive best practices across the organization. Who You Are - 4+ years of experience in software engineering, with a focus on backend performance and/or distributed systems - Strong software engineering fundamentals and proficiency in at least one modern programming language (Python, Go, TypeScript, etc.) - Experience designing and scaling customer-facing APIs in production, ideally leveraging systems such as MySQL, Clickhouse, Bigtable, Pub/Sub, or Kafka - Hands-on experience with Kubernetes, Terraform, and at least one major cloud provider (GCP, AWS, or Azure) Preferred - Experience mentoring junior engineers and collaborating with other business functions - Background in large-scale metrics, logging, or analytics systems - Familiarity with designing cost-optimized storage and query infrastructure Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. - You love building scalable systems that handle massive amounts of data efficiently - You’re curious about how ML teams use metrics and analytics to accelerate research - You’re an expert in distributed systems and API design Why Us? We work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: - Be Curious at Your Core - Act Like an Owner - Empower Employees - Deliver Best-in-Class Client Experiences - Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $139,000 to $204,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings; for roles in other locations, benefits vary and are shared during the hiring process. These include: - Medical, dental, and vision insurance - 100% paid for by CoreWeave - Company-paid Life Insurance - Voluntary supplemental life insurance - Short and long-term disability insurance - Flexible Spending Account - Health Savings Account - Tuition Reimbursement - Ability to Participate in Employee Stock Purchase Program (ESPP) - Mental Wellness Benefits through Spring Health - Family-Forming support provided by Carrot - Paid Parental Leave - Flexible, full-service childcare support with Kinside - 401(k) with a generous employer match - Flexible PTO - Catered lunch each day in our office and data center locations - A casual work environment - A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

👤 HumanFull-timeSenior

By Weights & BiasesDec 18, 2025

Senior Software Engineer, Infrastructure Operation...

Negotiable

CoreWeave, the AI Hyperscaler™, acquired Weights & Biases to create the most powerful end-to-end platform to develop, deploy, and iterate AI faster. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe, and was ranked as one of the TIME100 most influential companies of 2024. By bringing together CoreWeave’s industry-leading cloud infrastructure with the best-in-class tools AI practitioners know and love from Weights & Biases, we’re setting a new standard for how AI is built, trained, and scaled. The integration of our teams and technologies is accelerating our shared mission: to empower developers with the tools and infrastructure they need to push the boundaries of what AI can do. From experiment tracking and model optimization to high-performance training clusters, agent building, and inference at scale, we’re combining forces to serve the full AI lifecycle — all in one seamless platform. Weights & Biases has long been trusted by over 1,500 organizations — including AstraZeneca, Canva, Cohere, OpenAI, Meta, Snowflake, Square,Toyota, and Wayve — to build better models, AI agents and applications. Now, as part of CoreWeave, that impact is amplified across a broader ecosystem of AI innovators, researchers, and enterprises. As we unite under one vision, we’re looking for bold thinkers and agile builders who are excited to shape the future of AI alongside us. If you're passionate about solving complex problems at the intersection of software, hardware, and AI, there's never been a more exciting time to join our team. What You'll Do The Infra Ops team is a new team in the Execute pillar of Weights & Biases infrastructure. Our mission is to keep our platform engineers building: we absorb, reroute, and automate incoming infrastructure requests — incidents, how-to questions, troubleshooting requests, and one-off asks — so that other pillars can focus on their deliverables. Build and release engineering is part of the Execute pillar — an organized, safe, and robust release process is the natural way to reduce post-release incidents, rollbacks, and toil. We work across the full W&B /CoreWeave infra stack — Kubernetes, Go, Terraform, ClickHouse, CircleCI, ArgoCD, Argo Rollouts, GitHub Actions, and others — running on GCP, AWS, and Azure, across multi-tenant SaaS, dedicated cloud, and on-prem deployments. About the Role We are seeking an Infrastructure Operations Engineer to be part of the first line of support for the infrastructure org. This is a support-oriented, interrupt-driven role: your days are shaped by incoming requests from our internal customers — Solutions Engineers, security, compliance, and product developers on other teams — rather than by a single long-running project. With guidance from senior teammates, you'll triage and resolve many requests end to end, and help convert recurring issues into documentation and automation to prevent repeats. It's a fast way to learn the entire infrastructure surface, and a natural "landing pad" into infrastructure engineering. You'll write code most days — automation and scripts in Python, Bash, and Go — and take part in a first-responder rotation covering the daily request peak in Slack and office hours. Your customers are primarily internal, though you'll occasionally work a customer escalation when our merchant-support and SA teams need help. In this role, you will: - Triage and resolve incoming infrastructure requests across Slack, Jira, and office hours — resolving well-scoped ones yourself and escalating others with a clear, reproducible hand-off. - Troubleshoot problems across the stack — dig through logs, systems, and configuration to work out what is actually happening, asking for help when a problem runs deep. - Write scripts and other automation in Python, Bash, and Go that reduce repetitive work. - Help maintain and improve build and release pipelines, along with the runbooks and self-service docs the team depends on. - Partner and collaborate closely with our SA, security, and product engineers on one side, and with the other infra pillars on the other. - Take part in a 24/7 escalation on-call rotation - Document recurring how-to and configuration questions so they can be answered once and reused. Who You Are - Experience: 2+ years in an infrastructure, SRE, operations, DevOps, or technical-support role — or equivalent experience from a computer-science (or related) degree, a bootcamp, or substantial personal/open-source projects. We hire on demonstrated ability, not credentials. - Scripting: Comfortable scripting in at least one of Python, Bash, or Go, and eager to use code to eliminate repetitive work. - Systems foundation: Experience with Linux, containers, and at least one major public cloud (GCP, AWS, or Azure); infrastructure-as-code (Terraform) is a must. - Able to drive well-scoped problems to resolution, and to recognize when to pull in a more senior teammate. - Strong written and verbal communication and a service mindset — you communicate effectively with our internal customers. - A genuine desire to help people and unblock them — you take satisfaction in solving someone else's problem, not just your own. - Patience and composure under pressure, with the ability to stay positive and constructive. - Comfortable with a support-driven, high-context-switching, and sometimes repetitive workload — you can hold several small threads at once without losing the plot, and you drive the automation of recurring patterns. - Aim to make yourself unnecessary — automate everything to free time for larger infrastructure projects at the edges of other infrastructure pillars. We have much ground to cover. Preferred - Exposure to CI/CD systems (GitHub Actions, Argo, or similar) and observability tooling (Datadog). - Applied AI: Hands-on experience designing, building, and maintaining complex, production-grade AI agents — including continuous multi-source data ingestion and indexing, and RAG / context augmentation. - Hands-on experience with production databases (PostgreSQL, ClickHouse, or similar). - Prior internship or role on a platform, developer-experience, or support-engineering team. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. - You love helping and unblocking other people, and feel the satisfaction of a support queue going quiet. - You're curious about turning repetitive toil into automation and self-service rather than absorbing it forever. - You're eager to learn a large, real-world infrastructure stack quickly. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: - Be Curious at Your Core - Act Like an Owner - Empower Employees - Deliver Best-in-Class Client Experiences - Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $153,000 to $204,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings; for roles in other locations, benefits vary and are shared during the hiring process. These include: - Medical, dental, and vision insurance - 100% paid for by CoreWeave - Company-paid Life Insurance - Voluntary supplemental life insurance - Short and long-term disability insurance - Flexible Spending Account - Health Savings Account - Tuition Reimbursement - Ability to Participate in Employee Stock Purchase Program (ESPP) - Mental Wellness Benefits through Spring Health - Family-Forming support provided by Carrot - Paid Parental Leave - Flexible, full-service childcare support with Kinside - 401(k) with a generous employer match - Flexible PTO - Catered lunch each day in our office and data center locations - A casual work environment - A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

👤 HumanFull-timeSenior

By Weights & BiasesJul 13, 2026

Senior Data Platform Engineer - Weights & Biases

Negotiable

CoreWeave, the AI Hyperscaler™, acquired Weights & Biases to create the most powerful end-to-end platform to develop, deploy, and iterate AI faster. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe, and was ranked as one of the TIME100 most influential companies of 2024. By bringing together CoreWeave’s industry-leading cloud infrastructure with the best-in-class tools AI practitioners know and love from Weights & Biases, we’re setting a new standard for how AI is built, trained, and scaled. The integration of our teams and technologies is accelerating our shared mission: to empower developers with the tools and infrastructure they need to push the boundaries of what AI can do. From experiment tracking and model optimization to high-performance training clusters, agent building, and inference at scale, we’re combining forces to serve the full AI lifecycle — all in one seamless platform. Weights & Biases has long been trusted by over 1,500 organizations — including AstraZeneca, Canva, Cohere, OpenAI, Meta, Snowflake, Square,Toyota, and Wayve — to build better models, AI agents and applications. Now, as part of CoreWeave, that impact is amplified across a broader ecosystem of AI innovators, researchers, and enterprises. As we unite under one vision, we’re looking for bold thinkers and agile builders who are excited to shape the future of AI alongside us. If you're passionate about solving complex problems at the intersection of software, hardware, and AI, there's never been a more exciting time to join our team. What You'll Do: The Data group at Weights & Biases works across the full range of data-related topics: - We help business partners set goals, make decisions, and understand the levers to achieve their goals. - We build reporting to keep the business attuned and aligned. - We build datasets and pipelines to support self-service analysis. - We train models to understand our customer growth, churn risk, and detect spam and abuse. - We’re exploring novel benchmarks and recs for model training. - We build and maintain a massive data platform to power it all. About the role: As a Senior Data Platform Engineer, you will: - Partner with other Data Platform Engineers and Data Scientists to expand and maintain our data platform. - Partner with core engineering to improve our product telemetry. - Eventually, join our on-call rotation for the data platform. - Strategic goals for the team over the next 12 months: - Migrate data build tools to improve efficiency and performance - Build a robust internal data catalog and semantic layer to support self-service analytics. - Build an internal AI agent for addressing common data workflows. - Lay the foundations for internal AI applications built on top of our operational data. Who You Are: - Deep knowledge (practical and theoretical) of data engineering and the accompanying workflows. - History of writing easy-to-follow code and effective documentation for your projects. - Expert knowledge of data orchestration/data pipeline tools (dbt, dagster, airflow, etc). - Experience working with large and high-demand data warehouses/platforms, multi-PB scale, and extreme business demand for the systems. - Expert knowledge and understanding of web apps and best practices for logging and event instrumentation. - Ability to clearly communicate your ideas to folks across a range of backgrounds and levels of technical knowledge. Preferred: - If you work well in a self-directed environment and proactively find ways to improve processes and collaborate with team members or engaged users, your initiative will really shine in this role. - You'll love this role if you enjoy connecting with real users daily, helping them solve issues, and understanding good patterns for using our tools. You'll answer questions and requests with a kind, thoughtful tone that makes users feel appreciated and connected to our team. - Theoretical or practical knowledge of machine learning workflows and terminology. Why Us? We work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: - Be Curious at Your Core - Act Like an Owner - Empower Employees - Deliver Best-in-Class Client Experiences - Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings; for roles in other locations, benefits vary and are shared during the hiring process. These include: - Medical, dental, and vision insurance - 100% paid for by CoreWeave - Company-paid Life Insurance - Voluntary supplemental life insurance - Short and long-term disability insurance - Flexible Spending Account - Health Savings Account - Tuition Reimbursement - Ability to Participate in Employee Stock Purchase Program (ESPP) - Mental Wellness Benefits through Spring Health - Family-Forming support provided by Carrot - Paid Parental Leave - Flexible, full-service childcare support with Kinside - 401(k) with a generous employer match - Flexible PTO - Catered lunch each day in our office and data center locations - A casual work environment - A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

👤 HumanFull-timeRemoteSenior

By Weights & BiasesDec 12, 2025

Senior Software Engineer Together Cloud Infrastruc...

Negotiable

About the Role Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure. As a Senior AI Infrastructure Engineer, you will play a key role in building the next generation AI cloud platform – a highly available, global, blazing-fast cloud infrastructure that virtualizes cutting-edge ML hardware (GB200s/GB300s, BlueField DPUs) and enables state-of-the-art ML practitioners with self-serve AI cloud services, such as on-demand + managed Kubernetes and Slurm clusters. This platform serves both our internal SaaS products (inference, fine-tuning) and our external cloud customers, spanning dozens of data centers across the world. Hybrid working two days a week in the Amsterdam office. Responsibilities - Design, build, and maintain performant, secure, and highly-available backend services/operators that run in our data centers and automate hardware management, such as Infiniband partitioning, in-DC parallel storage provisioning, and VM provisioning. - Design and build out the IaaS software layer for a new GB200 data center with thousands of GPUs. - Work on a global multi-exabyte high-performance object store, serving massive datasets for pretraining. - Build advanced observability stacks for our customers with automated node lifecycle management for fault-tolerant distributed pretraining. - Perform architecture and research work for decentralized AI workloads - Work on the core, open-source Together AI platform - Create services, tools, and developer documentation - Create testing frameworks for robustness and fault-tolerance To be successful, you’ll need to be deeply technical and possess excellent communication, collaboration, and diplomacy skills. You have strong fundamental software development skills. In addition, you have strong systems knowledge and troubleshooting abilities. Requirements - 5+ years of professional software development experience and proficiency in at least one backend programming language (Golang desired) - 5+ years experience writing high-performance, well-tested, production quality code - Demonstrated experience with building and operating high-performance and/or globally distributed micro-service architectures across one or more cloud providers (AWS, Azure, GCP) - Excellent communication skills – able to write clear design docs and work effectively with both technical and non-technical team members - Deep experience with Kubernetes internals a big plus, such as implementing non-trivial Kubernetes operators, device/storage/network plugins, custom schedulers, or patches thereon or Kubernetes itself - Deep experience with VMs/hypervisors a big plus, such as QEMU/KVM, cloud-hypervisor, VFIO, virtio, PCIE passthrough, Kubevirt, SR-IOV - Deep experience with DC networking tech + solutions a big plus, such as VLAN, VXLAN, VPN, VPC, OVS/OVN - Experience with Cluster API or similar a big plus - Experience working on high-performance compute, networking, and/or storage a big plus - Experience virtualizing GPUs and/or Infiniband a big plus - Strong systems knowledge across compute, networking, and storage, including concurrency, memory management, performant I/O, and scale - Experience with infrastructure automation tools (Terraform, Ansible), monitoring/observability stacks (Prometheus, Grafana), and CI/CD pipelines (GitHub Actions, ArgoCD) - Experience building IaaS or PaaS systems at scale a plus - Experience with DPUs/SmartNICs a plus - GPU programming, NCCL, CUDA knowledge a plus About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy

👤 HumanFull-timeSenior

By Together AIJan 20, 2026

Senior Software Engineer - Together Cloud Platform

Negotiable

About the Role Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure. As a Senior Backend Engineer, you will play a key role in building the next generation AI cloud platform – a highly available, global, blazing-fast cloud infrastructure that virtualizes cutting-edge ML hardware (GB200s/GB300s, BlueField DPUs) and enables state-of-the-art ML practitioners with self-serve AI cloud services, such as on-demand + managed Kubernetes and Slurm clusters. This platform serves both our internal StaaS products (inference, fine-tuning) and our external cloud customers, spanning dozens of data centers across the world. Some of what you’ll work on: - Work on a distributed GPU scheduling system for the on-demand clusters product, Instant Clusters. - Build out a global management plane for managing our data center compute, networking, and storage. - Design and build new customer-facing cloud platform services, delivering killer enterprise AI cloud features. Responsibilities - Identify, design, and develop foundational backend services that power Together’s cloud platform - Analyze and improve the robustness and scalability of existing distributed systems, APIs, databases, and infrastructure - Partner with product teams to understand functional requirements and deliver solutions that meet business needs - Write clear, well-tested, and maintainable software and IaC for both new and existing systems - Conduct design and code reviews, create developer documentation, and develop testing strategies for robustness and fault tolerance - Participate in an on-call rotation to address critical incidents when necessary Requirements - 5+ years of demonstrated experience in building large scale, fault tolerant, distributed systems and API microservices - Experience designing, analyzing and improving efficiency, scalability, and stability of various system resources - Excellent communication skills – able to write clear design docs and work effectively with both technical and non-technical team members - Demonstrated experience with building and operating high-performance and/or globally distributed microservice architectures across one or more cloud providers (AWS, Azure, GCP) - Strong systems knowledge across compute, networking, and storage, including concurrency, memory management, performant I/O, and scale - Experience developing against and managing a relational database, such as PostgreSQL - Expert-level programmer in one or more of programming language (Golang preferred) - Proficiency in version control practices and integrating IaC with CI/CD pipelines. - Experience with Kubernetes and containers preferred - Experience building and operating data infrastructure (Kinesis, Airflow, Kafka, etc) a plus - Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy

👤 HumanFull-timeSenior

By Together AIJun 4, 2025

Product Manager, AI Infrastructure

Negotiable

About the Role Our product surface is expanding fast - GPU clusters, managed storage, networking, and observability - and we're adding a Product Manager to the Together Cloud team to own the day-to-day product work that keeps these AI infrastructure products moving. You'll start across the full surface, with an early focus on observability and GPU Clusters, partnering closely with engineering to ship the feature work that customers feel every day. This is a role for someone who runs toward problems. You won't be handed a backlog and asked to coordinate it - you'll find the issues others haven't spotted yet, drive them to resolution, and use data and experimentation to decide what to build. You'll have real autonomy from day one, and the breadth of working across compute, storage, and observability that few PM roles offer. It's also a role with a clear path. Within roughly nine months, the goal is for you to grow into full ownership of a complete product area — observability or storage as your own. You'll report directly to a Staff Product Manager, and our product leadership (including our CPO) is closely involved with this team. If you want to build infrastructure that the AI ecosystem runs on, and earn ownership quickly by proving you can operate, this is that seat. Responsibilities - Own the day-to-day product and feature work across Together's AI infrastructure products - GPU Clusters, Managed Storage, and observability - with an early focus on observability and storage. - Find and drive problems to resolution with minimal guidance, including issues that aren't yet on anyone's radar. - Run structured, hypothesis-driven experiments - reading the data yourself and driving the data collection and instrumentation needed to answer open questions. - Partner across engineering, product, and partner teams to ship improvements and unblock work without waiting for permission. - Translate a deep understanding of customers operating in fast-moving, high-ambiguity markets into product decisions. - Juggle multiple priorities and workstreams across a broad infrastructure surface. - Grow into end-to-end ownership of a complete product area (observability or storage) as you ramp. Requirements - Deep empathy for customers operating in high-ambiguity, fast-evolving markets; we work with AI Native startups and model labs that move at high pace - Strong, hands-on data and analytics skills with a hypothesis-driven approach - you design experiments, read the data yourself, and can drive the data collection needed to get answers. - High agency: you find problems, push through resistance, and drive resolution without waiting to be told what to do. - A real technical foundation -whether from an AI/infrastructure background, hands-on software development, or strong working knowledge of cloud and infrastructure. - A track record of collaborating across orgs and product lines to get things done. - Comfortable managing multiple priorities and workstreams at once. - Familiarity with the AI stack, especially at the infrastructure layer, is a strong plus. - Cloud platform experience (AWS, Azure, GCP, or similar) - with extra weight if you've helped build such products. - Bonus: working knowledge of the Nvidia/AMD GPU stack (InfiniBand, NCCL, GPU operator, etc.), or experience with AI training or inference workloads. About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $ 175,000 - 220,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy .

👤 HumanFull-timeMid

By Together AIJun 24, 2026

Lead/Manager Together Cloud Infrastructure

Negotiable

Negotiable

The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About the team div]:bg-bg-000/50 [&_pre>div]:border-0.5 [&_pre>div]:border-border-400 [&_.ignore-pre-bg>div]:bg-transparent [&_.standard-markdown_:is(p,blockquote,h1,h2,h3,h4,h5,h6)]:pl-[var(--msg-text-inset,0.5rem)] [&_.standard-markdown_:is(p,blockquote,ul,ol,h1,h2,h3,h4,h5,h6)]:pr-8 [&_.progressive-markdown_:is(p,blockquote,h1,h2,h3,h4,h5,h6)]:pl-[var(--msg-text-inset,0.5rem)] [&_.progressive-markdown_:is(p,blockquote,ul,ol,h1,h2,h3,h4,h5,h6)]:pr-8"> _*]:min-w-0 gap-3 [&_>_*:last-child]:mb-0 print:block print:[&_>_:where(:not(:first-child))]:mt-3 standard-markdown"> The DV team verifies SambaNova's RDU chips before they tape out. That covers block, full-chip, and gate-level benches, performance verification, coverage closure, and emulation and FPGA prototyping. When first silicon comes back, the same engineers debug bring-up in the lab. About the role SambaNova Systems is looking for a Director of ASIC Design Verification to own end to end verification for the next generation of our RDU chips. This role asks for genuine depth in verification, not just management of it. You'll be the technical authority on methodology as well as the leader of the team. You'll set verification architecture and strategy across the full chip and be accountable for pre-silicon quality through tape-out. The work spans block through full-chip and gate-level benches, performance verification, coverage closure, and emulation and FPGA prototyping. You'll be the DV voice in roadmap and tape-out readiness decisions, and your ownership carries into first silicon, supporting functional validation and bring-up debug in the lab. You'll lead an experienced team of 8-10 engineers, including principal-level engineers who have built and evolved our verification environment across several generations of silicon. That depth is the most valuable thing you inherit. You'll own where the environment goes next, including the decision to change it, and we expect you to arrive with a point of view. You'll also own the team's growth, leveling, and technical bar as our silicon roadmap scales. Responsibilities Some of your responsibilities will include: Own verification through tape-out - Own pre-silicon functional and performance verification for SambaNova ASICs — quality, coverage closure, and on-time delivery to tape-out - Define verification architecture, strategy, schedules, and DV environments for complex, high-performance machine learning ASICs - Serve as the technical authority on verification: arbitrate testbench architecture, set coverage and sign-off criteria, and lead debug on the hardest failures - Set and defend the DV schedule and own tape-out readiness sign-off, including the trade-off between coverage depth and time to silicon; report risk and readiness to executive staff with a clear point of view, not just a dashboard - Carry ownership into first silicon — support lab functional validation and bring-up debug, feeding findings back into the pre-silicon environment Lead and grow the team - Bring a strong point of view on methodology, and be willing to disagree with the team and with peers when the engineering case supports it - Own the direction of an established verification environment — understand the reasoning behind it, then decide what to evolve and what to replace - Lead, coach, and retain principal-level verification engineers; be accountable for their development and continued engagement - Grow the team toward a multi-workstream org: own staffing requirements, leveling, interview loop design, closing senior candidates, and developing technical leads Own the methodology - Own the DV methodology end to end — verification architecture, reuse strategy, and sign-off criteria - Lead development of test benches, agents, checkers, and stimulus at block, full-chip, system, and gate level - Drive pre-silicon debug and closure in both functionality and performance; own regression health and root-cause discipline - Land new DV methodologies and processes, including AI-assisted verification workflows, to improve execution effectiveness and efficiency - Direct emulation and FPGA prototyping strategy, and own third-party verification IP evaluation and EDA vendor relationships for DV tooling Partner across the organization - Partner with architecture, design, and software teams to settle requirements and drive DV planning - Work with the compiler and runtime teams to map ML application flows into verification, so silicon is validated against real workloads - Partner with hardware and systems teams on lab validation of first silicon, and represent DV in reviews with physical design, process and quality, and product Required qualifications - BS in EE, CS, or CE with 12+ years (or equivalent) of industry experience in ASIC design verification - 5+ years managing design verification engineers, including hiring and performance management, with experience leading senior and principal-level engineers - Track record of inheriting an established verification environment and evolving it with the team rather than replacing it wholesale - Deep, current technical expertise in verification — able to own methodology, arbitrate testbench architecture, and personally lead debug on the hardest pre-silicon failures - Full-cycle DV from planning through tape-out and into production silicon on at least one complex ASIC or large subsystem - Deep hands-on foundation in SystemVerilog, SVA, Python, and industry verification methodologies such as UVM, OVM, or VMM - Experience through silicon bring-up, including lab functional validation and debugging first-silicon issues to root cause - Working knowledge of machine learning SoCs or microprocessors (CPU/GPU) and modern computer architecture - Excellent communication skills and a track record of building consensus among stakeholders and team members Preferred qualifications - MS or PhD in EECS with 15+ years of experience in ASIC design verification - Multiple large-scale, high-impact chips led to silicon - Scaling a DV team through a step change in headcount or chip complexity - Owning or directing post-silicon functional validation in a lab environment - Deep understanding of performance verification methodology - High-performance interconnect protocols (PCIe, Ethernet) and memory subsystems - Advanced TSMC nodes and modern multi-die or chiplet verification challenges - Emulation and FPGA prototyping platforms - Managing cross-site or distributed teams - Fluency with Claude or other AI tools applied to verification and flow development Base Salary Range: Base Pay Range $270,000 - $340,000 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.

👤 HumanFull-timeExpert / Staff+

By SambaNova SystemsAug 19, 2026

ASIC Network Architect

Negotiable

The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About the role SambaNova Systems is looking for a talented and motivated ASIC Network Architect to help us solve the most challenging and impactful problems in machine learning and artificial intelligence. Responsibilities As a ASIC Network Architect at SambaNova, you'll be responsible for defining the next generation of silicon networking solutions to enable state-of-the-art scale-up competitiveness for supercomputer scale AI/ML systems including: - Conduct research and development in state of the art networking solutions - Define and own networking architecture specifications of performant, robust and efficient communications for the next generation super-pod scale ML hardware - Define and own the ML networking roadmap, leading a cross functional effort between software, systems, and silicon - Collaborate with executive leadership to align network initiatives with product competitiveness requirements - Stay on top of and contribute to industry standards representing SambaNova Required Qualifications - BS, MS, or PhD degree in Computer Science, Computer Engineering or Electrical Engineering - 10+ years of industry experience in ML silicon development in GPU, ML accelerator or networking ASIC - Proven track record of successful full-cycle development and delivery from planning to product in networking for such silicon solutions Knowledge & Skills - Track record of ownership and definition of various networking and routing protocols - Deep understanding and hands-on experience defining various networking topologies for large machine clusters. - Deep understanding of congestion management, QoS, security isolation - Deep understanding of networking reliability, availability and serviceability - Capable of abstracting and analyzing network performance from real world application data - Capable of breaking down networking requirements into silicon, packaging, system SW, RunTime and Compiler SW requirements - Strong hands-on analytical and debug skills to make progress on challenging problems in an ambiguous and highly dynamic environment - Strong coding skills with C++, Python, or Rust Leadership & teamwork - Highly motivated, self-driven, independent, organized and strong collaboration and communication skills - Cross-functional team leadership experience Preferred Qualifications - 15+ years of industry experience in ML / supercomputer / public cloud / networking industries - Good understanding of ASIC development cycles - Knowledge of machine learning architecture and/or computer architecture - Experience in building or proficiently using network simulators - Experience in leading silicon, packaging, system HW, system SW cross-functional teams - Experience in conducting perf and perf/tco trade-off analysis on different interconnect choices - Familiarity with off the shelf optical IP and optical switches - Understanding / hands-on experience in end to end optical systems - Hands-on experience in working with IP/Switch hardware vendor to enhance / customize solutions Base Salary Range: Base Pay Range $250,000 - $350,000 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.

👤 HumanFull-timeRemoteSenior

By SambaNova SystemsJul 6, 2026

Research Science Manager, Foundation Models

Negotiable

Negotiable

CoreWeave, the AI Hyperscaler™, acquired Weights & Biases to create the most powerful end-to-end platform to develop, deploy, and iterate AI faster. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe, and was ranked as one of the TIME100 most influential companies of 2024. By bringing together CoreWeave’s industry-leading cloud infrastructure with the best-in-class tools AI practitioners know and love from Weights & Biases, we’re setting a new standard for how AI is built, trained, and scaled. The integration of our teams and technologies is accelerating our shared mission: to empower developers with the tools and infrastructure they need to push the boundaries of what AI can do. From experiment tracking and model optimization to high-performance training clusters, agent building, and inference at scale, we’re combining forces to serve the full AI lifecycle — all in one seamless platform. Weights & Biases has long been trusted by over 1,500 organizations — including AstraZeneca, Canva, Cohere, OpenAI, Meta, Snowflake, Square,Toyota, and Wayve — to build better models, AI agents and applications. Now, as part of CoreWeave, that impact is amplified across a broader ecosystem of AI innovators, researchers, and enterprises. As we unite under one vision, we’re looking for bold thinkers and agile builders who are excited to shape the future of AI alongside us. If you're passionate about solving complex problems at the intersection of software, hardware, and AI, there's never been a more exciting time to join our team. What You'll Do You'll join the ML Workflows organization as the Engineering Manager for Artifacts & Registry, leading a team of six engineers. Registry is the organization-level source of truth for what a company has approved for production. It provides access control, protected aliases, lineage, and automation hooks, and it is where a model version goes once it moves out of research. Pinterest, Capital One, Canva, Recursion, and Dropbox all run on it, and for some of them it sits inside a production serving path. Artifacts is the layer underneath it: content-addressable storage, deduplication, lineage, and retention for datasets, model weights, checkpoints, and evaluation outputs, across S3, GCS, Azure, and CoreWeave AI Object Storage. Every object logged to W&B is an artifact. The team's mandate is also weighted heavily toward closing the gap between CoreWeave's infrastructure and the ML experimentation that happens in W&B. That includes extending the Registry beyond a record of decisions, so that promoting a model version can put it into serving on CoreWeave compute with lineage and access control carried through, and bringing compute and experimentation into a single unified experience rather than separate tools. This work is done in partnership with foundational infrastructure teams at CoreWeave and product teams across the W&B ecosystem. The current scope is well defined and load bearing, with enterprise customers relying on it daily. What is open is what comes next, where there is significant room for new products, new roadmaps, and deeper integration between CoreWeave and W&B. The role therefore calls for a product-first mindset alongside strong operational ownership. About the role You'll own the full lifecycle, from roadmap shaping through delivery and production reliability. You'll partner with product management on prioritization, unblock your engineers across team boundaries, and hold the reliability bar while the team ships new capability. The failure modes here are customer data and customer uptime, so operational judgment matters as much as delivery. You need to be technically fluent enough for the real architecture conversations: relational data modeling and query performance at scale, object storage, an analytical search index maintained alongside a transactional system of record, permission models, and the lifecycle of data customers cannot afford to lose. You're not afraid to get your hands dirty when the team needs it. Your primary focus is growing your engineers into autonomous leaders and technical decision-makers. We're an AI-forward organization and we expect you to champion that. This team already does, both in how they build and in what they build, including the agent-facing surfaces of the product itself. Like any role at a hyperscaler, this comes with high accountability and ownership. You'll own your team's outcomes end to end, make hard prioritization calls, and build a team that operates with autonomy and urgency. Who You Are - 3+ years of engineering management experience shipping platform, data, or infrastructure products - 5+ years of software engineering experience prior to management, with backend systems depth - Technical fluency in Go (or a comparable statically typed backend language), relational data modeling, and distributed backend systems. You won't write code daily, but you need to review PRs, unblock architectural decisions, and understand production incidents - Experience managing teams that own production systems where the durability and correctness of customer data is the primary constraint - Demonstrated ability to balance product delivery with technical health, covering technical debt, reliability, and on-call - Experience partnering with product managers to shape a roadmap, including making the case for platform investment with evidence - Track record of growing engineers across levels, from mid-level through senior - Strong communication skills with both engineering and non-engineering stakeholders - Comfortable operating in ambiguity, including product areas where the right level of investment is an open question you're expected to help answer Preferred - Experience with ML infrastructure, ML platforms, model registries, or developer tools for data scientists - Background in large-scale object storage, content-addressable storage, deduplication, or garbage collection over large object graphs - Depth in query performance and schema migrations against large production databases, and experience with a columnar or OLAP store such as ClickHouse alongside a transactional system of record - Familiarity with multi-tenant permission models, RBAC, and enterprise access control requirements - Experience taking a mature, widely-adopted product into a new strategic phase rather than only building from zero - Experience with post-acquisition platform integration - Founding experience or early-stage background where you took a product from idea to the hands of users Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams, even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. - You're interested in owning a system other products depend on, and in extending it rather than only keeping it running. - You think reliability is part of the product, and you can make that case to product partners and leadership with data. - You care about developer experience and understand that infrastructure teams succeed when their users actually love the tools. - You've managed through organizational complexity before and you're comfortable navigating cross-team dependencies and shifting priorities. Why Us? We work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: - Be Curious at Your Core - Act Like an Owner - Empower Employees - Deliver Best-in-Class Client Experiences - Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings; for roles in other locations, benefits vary and are shared during the hiring process. These include: - Medical, dental, and vision insurance - 100% paid for by CoreWeave - Company-paid Life Insurance - Voluntary supplemental life insurance - Short and long-term disability insurance - Flexible Spending Account - Health Savings Account - Tuition Reimbursement - Ability to Participate in Employee Stock Purchase Program (ESPP) - Mental Wellness Benefits through Spring Health - Family-Forming support provided by Carrot - Paid Parental Leave - Flexible, full-service childcare support with Kinside - 401(k) with a generous employer match - Flexible PTO - Catered lunch each day in our office and data center locations - A casual work environment - A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

👤 HumanFull-timeSenior

By Weights & BiasesAug 11, 2026

Director of Product

Negotiable

ABOUT WEAVIATE Weaviate https://weaviate.io/ is an AI startup with open source and creativity at its core. Our AI-native vector database uses machine learning to create meaningful insights from unstructured data in a completely new way. Named one of Forbes’ Top 50 AI startups, and with over a million monthly downloads, Weaviate is quickly growing in popularity with developers and enterprises alike. Our team members work remotely across the globe with the flexibility to work from anywhere and at any time. Our people experience this as a massive benefit! Operating with a strong sense of ownership and collaboration, our teams prioritize results while empowering each individual to do their best work. ABOUT THIS ROLE Weaviate has been really successful in enterprise, and we're doubling down on that by growing our enterprise-facing teams. That shifts what the product has to do. Large customers arrive with specific requirements, and someone has to decide which of those we build, in what order, and which ones we tell the customer we won't build. As Director of Product, you'll own product strategy and decision-making across the Weaviate Database, Weaviate Cloud, and our agent products. You'll spend a lot of your week with customers, and the rest of it turning what you heard into a roadmap that engineering can act on. You'll work directly with our CTO on vision and with tech leads on what's actually feasible. This is a player-coach role. You'll manage a small product team, likely one to three PMs over time, while continuing to own product areas yourself. WHO WE'RE LOOKING FOR You're comfortable in front of enterprise customers, and you go looking for those conversations rather than waiting for them to be scheduled. You can tell the difference between a request that will block a deal and a request that's a minor annoyance, and you can explain how you reached that conclusion. You make prioritization decisions using evidence. When you say one feature should ship before another, you can clearly explain the business impact and tradeoffs behind that decision, and you're comfortable defending it. You have a real working relationship with engineering. You understand that adding something to the plan means something else moves, and you're upfront about those tradeoffs. You take tech debt seriously when engineers make the case for it. You spend enough time with the teams that trust is already there when a hard conversation comes up. You're senior enough to hold your ground. Priorities will get pulled in different directions by big opportunities, and part of your job is deciding when that's the right call and when to push back. RESPONSIBILITIES TRANSLATE CUSTOMER REALITY INTO A ROADMAP - Run a continuous rhythm of customer conversations: discovery calls, renewals, and support signal - Turn enterprise requirements into clear specs engineering can build from, with the underlying problem attached, so the team can make good calls without you in the room - Maintain one prioritized roadmap that shows what's shipping, what got moved to make room, and why OWN PRIORITIZATION AND BUSINESS VALUE - Attach an expected business impact to significant roadmap items so tradeoffs can be argued with evidence - Assess incoming enterprise requests for criticality and pattern: is this one customer, or the first of many - Manage expectations across sales, leadership, and customers when priorities change - Define success metrics for major features and follow up on them after they ship WORK CLOSELY WITH ENGINEERING - Partner with tech leads on sequencing, feasibility, and dependency-heavy work across releases - Make the cost of a change in direction explicit before it lands on a team - Give engineering enough context on customer problems that they can push back with better ideas - Keep the balance between customer-driven work and the reliability and platform work engineering needs to do SET THE OPERATING STANDARD FOR PRODUCT - Establish the operating cadence for planning and execution, with conventions engineering teams actually follow - Hire and develop PMs as the team grows, while staying hands-on in your own areas - Partner with GTM and marketing so new capabilities land with positioning that matches the customer problem they solve REQUIREMENTS - 8+ years in product management, including recent hands-on IC work. You've owned a roadmap yourself, not only through a team - Experience with enterprise customers: discovery, requirements gathering, and expectation management with large accounts - Track record of quantifying the business impact of roadmap decisions and defending prioritization to stakeholders who disagree - Comfortable in a technically deep domain such as databases, data infrastructure, distributed systems, or developer tools. You don't need an engineering background, but you do need to hold your own with tech leads - Experience running product process in Linear or a comparable tool, with a clear opinion on how it should be set up - Strong written communication. Most of our decision-making happens in docs - Some people management experience, or clear readiness to take that step with a team of one to three - Working hours between GMT and ET, with flexibility for an occasional early or late call. NICE-TO-HAVES - Experience at a developer tools or open source company - Familiarity with vector search, embeddings, RAG, or agent workflows - Background working with enterprise customers alongside a self-serve motion - Experience in a company where product owned both an open source project and a commercial cloud offering WHAT WE OFFER - 100% remote with flexible work hours. - Competitive compensation, including paid time off https://weaviate.io/company/playbook/taking-time-off-at-weaviate. - Budget available to spend on going to conferences, co-working space, home office equipment, etc. - Work with very experienced and fun team members. - An atmosphere that encourages learning and personal growth, and that gives you lots of freedom, flexibility, and responsibilities. - You will work at the forefront of search, ML/AI, and cloud-native technologies - and all of it is open source. ARE YOU INTERESTED? Have a look at this page https://weaviate.io/company/careers#interview-process to learn what you can expect from our interview process. Be aware that conducting a background check is part of our onboarding. If you’re interested in Weaviate and this role, please apply through this vacancy. We’ll be in touch in response to your application. This way, we can ensure you have the best experience while allowing our team to focus on doing their best work.

👤 HumanFull-timeExpert / Staff+

By WeaviateAug 5, 2026

Staff Engineer, Distributed Storage and HPC & AI I...

Negotiable

About the Role In this role, you will operate, scale, and optimize multi-petabyte storage systems purpose-built for the world’s largest AI training and inference workloads. You’ll manage and scale high-performance parallel filesystems and object stores, evaluate and integrate cutting-edge technologies such as Vast, Weka, Ceph, and Lustre, and solve the complex engineering challenges of operating at extreme throughput, low-latency data paths, and massive cluster-scale storage operations. You will also build Kubernetes-native storage operators and self-service platforms that provide automated provisioning, strict multi-tenancy, performance isolation, and quota enforcement at cluster scale. Day-to-day, you’ll optimize end-to-end data paths for 10-50 GB/s per node, design multi-tier caching architectures, implement intelligent prefetching and model-weight distribution, and tune parallel filesystems for AI workloads. Responsibilities - Architect and implement the technical strategy and storage roadmap for Together AI, driving high-performance architectural decisions as we scale our GPU fleet. - Engineer and scale multi-petabyte AI/ML storage systems by integrating Vast, Weka, and Ceph while executing deep cost optimization through automated tiering and lifecycle policies. - Develop intelligent caching and tiered storage architectures to achieve extreme IOPS and cluster-wide throughput at GPU scale for training and inference workloads. - Tune storage isolation at the L2/L3 network layers to ensure secure, production-grade multi-tenancy for storage clients. - Code Kubernetes storage operators and controllers to enable automated provisioning, self-service abstractions, and quota enforcement. - Engineer end-to-end data paths to achieve 10+ GB/s per GPU node; architect multi-tier caching for model weights and datasets; tune parallel filesystems using advanced profiling; and scale storage infrastructure across thousands of nodes. - Optimize end-to-end data paths through advanced benchmarking and profiling, contributing high-impact code to open-source storage projects and internal tooling. Requirements - 8+ years in storage engineering, managing distributed storage at multi-petabyte scale - Proven track record deploying and operating high-performance storage for GPU/HPC clusters - Deep Kubernetes and cloud-native storage experience in production environments - Strong coding skills in Go and Python with demonstrated ability to build production-grade systems and tooling - BS/MS in Computer Science, Engineering, or equivalent practical experience - History of technical leadership: designing systems that significantly improved performance, reliability (99.999%+ uptime), or cost efficiency - Distributed Storage Systems: Deep expertise in either of Ceph, WekaFS, Lustre, Vast, GPFS, or similar parallel filesystems at multi-petabyte scale - Object Storage: Production experience with S3, MinIO, Ceph, or R2 including performance optimization and cost management - Kubernetes Storage: CSI drivers, StatefulSets, PersistentVolumes, storage operators, and custom controllers - Storage optimization for GPU workloads, RDMA/InfiniBand networking, parallel filesystem optimization (TB/s aggregate cluster throughput - line saturation) - Programming: Go and Python for automation, operators, and tooling - Infrastructure as Code: Terraform, Ansible, Helm, GitOps (ArgoCD) - Linux Storage Stack: Advanced knowledge of filesystems (ext4, xfs), LVM, NVMe optimization, RAID configurations - Observability: Prometheus, Grafana, Thanos architecture and operations Nice to Have Skills - GPU Direct Storage (GDS), NVMe-oF, storage networking, RDMA implementations - ML/AI storage patterns (model weights, checkpointing, dataset caching) - Storage benchmarking and profiling tools (fio, iperf3, iostat, blktrace). About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $250,000 - $300,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy

👤 HumanFull-timeExpert / Staff+

By Together AIJun 4, 2026

Solutions Architect

Negotiable

About the Role As a Solutions Architect at Together AI, you will work with customers and prospects to create business value through Generative AI applications. Solutions Architects at Together are trusted advisors to our customers that evaluate, identify and demonstrate how Together can solve their AI needs. As key contributors to our sales organization, Solution Engineers add tremendous value to the customer journey and directly impact company growth and revenue. This is an exciting opportunity for a deeply technical professional passionate about AI and customer success to make a significant impact in a fast-paced, innovative environment. Responsibilities - Act as a technical advisor to our most strategic customers, deeply embedding with them to support the ideation and development of innovative applications using OSS models on Together AI - Run complex demonstrations and POCs of Together’s entire stack, including both hardware and software solutions - Collaborate with sales to qualify new prospects and support existing customers along their journey to build cutting-edge Generative AI solutions - Build and maintain strong relationships with customer leadership and stakeholders, ensuring the successful deployment and scaling of their applications - Deliver high-value feedback to our Product, Engineering, and Research teams, ensuring our platform continues to evolve to meet customer needs - Build educational content and tooling for both internal and external use around Together’s solutions (i.e., playbooks, blogs, demos, etc.) Qualifications - 5+ years of experience in a customer-facing technical role with at least 2 years in a pre-sales function - Excellent communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders. - Ability to consult with new and existing customers to map business needs to technical solutions - Strong technical background, with knowledge of AI, ML, GPU technologies and their integration into high-performance computing (HPC) environments. - Strong understanding of training, fine-tuning and inference in the context of open source LLMs - Proficiency in Python and JavaScript, with experience building and delivering prototypes on API platforms. - Familiarity with infrastructure services (e.g., Kubernetes, SLURM), infrastructure as code solutions (e.g., Ansible), container infrastructure Docker), and scripting and programming languages (Python, Javascript) - Strong sense of ownership and willingness to learn new skills to ensure both team and customer success. - Ability to operate in dynamic environments, adept at managing multiple projects, and comfortable with frequent context switching and prioritization. About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US salary range for this full-time position is: $180-260K OTE + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our Privacy Policy at https://www.together.ai/privacy

👤 HumanFull-timeSenior

By Together AIJan 22, 2025

Senior Software Engineer, Observability

Negotiable

About the Role Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure. The AI Infrastructure team at Together AI is at the forefront of building and scaling the foundational systems that power our generative AI platform. The storage and observability team is crucial for designing, implementing, and maintaining robust distributed storage solutions, ensuring seamless data access and management. They are also responsible for developing comprehensive observability platforms, providing critical insights into system performance and GPU utilization, and proactively identifying and resolving issues. Responsibilities - Design and implement a scalable observability platform (metrics, logs, traces) using tools like Prometheus, Grafana, ClickHouse, ClickStack, and OpenTelemetry, including telemetry data pipelines and log aggregation workflows. - Develop automated monitoring, alerting, and anomaly detection systems, including SLIs/SLOs, runbooks, and predictive analytics for critical services. - Build and deploy custom observability tools and infrastructure-as-code using Go, Python, Terraform, Ansible, and Helm. - Collaborate with engineering teams to enhance distributed tracing and application monitoring, and lead incident response with post-mortem analysis. - Define observability best practices. Requirements - Expertise in observability platforms (Prometheus, Grafana, ClickStack, OpenTelemetry) and cloud-native monitoring services (AWS, GCP, Azure). - Strong programming skills in Go, Python, or similar languages, with proficiency in infrastructure-as-code tools (Terraform, Ansible, Helm). - Experience designing, operating, and scaling large-scale distributed systems and pipelines for high-volume data ingestion and real-time querying. - Deep understanding of containerization (Docker) and orchestration (Kubernetes). - Knowledge of microservices architecture, service mesh technologies, CI/CD pipelines, and GitOps workflows. - Expertise in managing databases (PostgreSQL, MongoDB, Redis) and time-series databases with high-cardinality data. Preferred - Experience monitoring AI/ML infrastructure, GPU clusters, and custom metrics for model performance and training pipelines. - Background in high-frequency, low-latency systems monitoring, chaos engineering, and reliability testing. - Contributions to open-source observability projects. - Familiarity with security monitoring and compliance frameworks. Compensation We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $200,000 - $280,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy

👤 HumanFull-timeSenior

By Together AINov 8, 2025

Senior Software Engineer - Together Cloud Infrastr...

Negotiable

About the Role Together AI is building the AI Native Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure. The Together Cloud team builds the Together GPU Clusters product, which provides high-performance, AI-ready GPU clusters through a self-serve cloud console and is the virtualized infrastructure layer powering Together’s inference, RL, and fine-tuning products. As a Senior Software Engineer in Together Cloud Infrastructure, you will play a key role in building the next generation AI cloud platform – a highly available, global, blazing-fast cloud infrastructure that virtualizes cutting-edge ML hardware (GB200s/GB300s, BlueField DPUs). You'll enable state-of-the-art ML practitioners with self-serve AI cloud services, such as on-demand + managed Kubernetes and Slurm clusters, for both our internal SaaS products (inference, fine-tuning, RL) and our external cloud customers, spanning dozens of data centers across the world. Responsibilities - Design, build, and maintain performant, secure, and highly-available backend services/operators that run in our data centers and automate hardware management, such as Infiniband partitioning, in. DC parallel storage provisioning, and VM provisioning. - Design and build out the IaaS software layer for a new GB200 data center with thousands of GPUs. - Design and build distributed GPU scheduling and the global management plane that power on-demand and managed clusters across dozens of data centers - Develop infrastructure that powers our internal inference, RL, and fine-tuning products in addition to external cloud customers - Design and build systems that scale per-cluster capacity limits and automate the onboarding of new capacity - Work on a global multi-exabyte high-performance object store, serving massive datasets for pretraining and model weights for large-scale inference. - Build advanced observability stacks for our customers with automated node lifecycle management for fault-tolerant distributed pretraining and large-scale inference. - Perform architecture and research work for decentralized AI workloads - Work on the core, open-source Together AI platform - Create services, tools, and developer documentation - Create testing frameworks for robustness and fault-tolerance To be successful, you’ll need to be deeply technical and possess excellent communication, collaboration, and diplomacy skills. You have strong fundamental software development skills. In addition, you have strong systems knowledge and troubleshooting abilities. Requirements - 5+ years of professional software development experience and proficiency in at least one backend programming language (Golang desired) - 5+ years experience writing high-performance, well-tested, production quality code, and demonstrated ownership of large-scale projects driven end-to-end to completion - Demonstrated experience with building and operating high-performance and/or globally distributed micro-service architectures across one or more cloud providers (AWS, Azure, GCP) - Excellent communication skills – able to write clear design docs and work effectively with both technical and non-technical team members - Strong systems knowledge across compute, networking, and storage, including concurrency, memory management, performant I/O, and scale - Experience building and operating reliable, customer-facing production systems at scale with infrastructure automation tools (Terraform, Ansible), monitoring/observability stacks (Prometheus, Grafana), and CI/CD pipelines (GitHub Actions, ArgoC Preferred Qualifications: - Deep experience with Kubernetes internals, such as implementing non-trivial Kubernetes operators, device/storage/network plugins, custom schedulers, or patches to Kubernetes itself - Deep experience with VMs/hypervisors, such as QEMU/KVM, cloud-hypervisor, VFIO, virtio, PCIE passthrough, Kubevirt, SR-IOV - Deep experience with DC networking tech + solutions, such as VLAN, VXLAN, VPN, VPC, OVS/OVN - Experience with Cluster API or similar - Experience working on high-performance compute, networking, and/or storage - Experience virtualizing GPUs and/or Infiniband - Experience building IaaS or PaaS systems at scale - Experience with DPUs/SmartNICs - GPU programming, NCCL, CUDA knowledge About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $220,000 - $290,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy

👤 HumanFull-timeSenior

By Together AIJun 3, 2025

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